Instructor Guide: Integrating Artificial Intelligence, Machine Learning, Data Science, Google Tools and Leadership Experiences in General Biology Course

lt;p class=quot;normalquot;gt;lt;span style=quot;font-size:11ptquot;gt;lt;span style=quot;background:whitequot;gt;lt;span style=quot;line-height:normalquot;gt;lt;span style=quot;font-family:Arial,amp;quot;sans-serifamp;quot;quot;gt;lt;span lang=quot;ENquot; style=quot;font-size:12.0ptquot;gt;lt;span style=quot;color:#222222quot;gt;In this lesson students will learn concepts of biological molecules, various types of food, ratio of biological molecules in food, nutritional disorders amp;amp; disease in human body systems due to improper metabolism. Additionally, students will apply advanced knowledge and skills to understand, apply, and explore the role of extrinsic factors and intrinsic factors to understand the nature of the nutrition in a normal individual and diseased patient. Students will learn through interaction, research, textbook, research articles and textbook chapters. Students will engage in learning activities to advance knowledge and attain transferable skills. Students will also participate in individual and group work taking up leadership roles, exploring research articles, using AI, integrating Machine Learning, Google Tools, Creating Graphs amp;amp; Analyse it, taking leadership roles and applying artificial intelligence tools to learn about nutritional importance of biological molecules in various food type and its application to medical research. Pankaj Mehrotra was funded by Artificial Intelligence and Machine Learning in General Biology Faculty Mentoring Network (FMN) Stipend from Florida Aamp;amp;M University, Florida, United States of America. Also a scholarship by National Institute on Scientific Teaching, New York, Ambassador Award, Maine and IDEAS Fellowship amp;amp; Scholarship by BioQuest, New Hampshire.lt;/spangt;lt;/spangt;lt;/spangt;lt;/spangt;lt;/spangt;lt;/spangt;lt;/pgt;